Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/ptb-xl/g10/HR09473.hea (739 bytes) 
HR09473 12 500 5000
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -30 -8930 0 I
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -25 -14938 0 II
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 5 -5991 0 III
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 27 12015 0 aVR
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -17 -803 0 aVL
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -10 -9879 0 aVF
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 20 -2549 0 V1
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -5 -16079 0 V2
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -40 -14428 0 V3
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -70 -24252 0 V4
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -70 -19036 0 V5
HR09473.mat 16x1+24 1000.0(0)/mv 16 0 -40 -17080 0 V6
# Age: 50
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown